Reputation: 181
I import numpy or cupy as follows:
import numpy as np
# import cupy as np
Then I generate X as follows:
np.random.seed(0)
X = np.random.rand(4, 3)
I get two very different matrices depending on whether np
is numpy or cupy.
numpy matrix:
[[0.5488135 0.71518937 0.60276338]
[0.54488318 0.4236548 0.64589411]
[0.43758721 0.891773 0.96366276]
[0.38344152 0.79172504 0.52889492]]
cupy matrix:
[[0.43845084 0.4603647 0.25021471]
[0.49474377 0.05301112 0.33769926]
[0.39676252 0.87441866 0.48216683]
[0.0428398 0.50841419 0.6545497 ]]
How can I generate the same random matrix using both numpy and cupy?
Upvotes: 1
Views: 73